1 citations · 1 across the 6 of their papers we have counts for
6 papers
Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models
Taesung Kwon, Jonghyun Park, Hyungjin Chung +1
Diffusion models provide powerful priors for zero-shot video inverse problems, but their real-time deployment is hindered by two inefficiencies: high initial latency caused by holi…
FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers
Jonghyun Park, Jong Chul Ye
Deep generative models are powerful priors for imaging inverse problems, but training-free solvers for latent flow models face a practical finite-step trade-off. Optimization-heavy…
Victim as a Service: Designing a System for Engaging with Interactive Scammers
Daniel Spokoyny, Nikolai Vogler, Xin Gao +7
Pig butchering, and similar interactive online scams, lower their victims' defenses by building trust over extended periods of conversation - sometimes weeks or months. They have b…
Attention Misses Visual Risk: Risk-Adaptive Steering for Multimodal Safety Alignment
Jonghyun Park, Minhyuk Seo, Chaewon Yeo +1
Even modern AI models often remain vulnerable to multimodal queries in which harmful intent is embedded in images. A widely used approach for safety alignment is training with exte…
AtlasD: Automatic Local Symmetry Discovery
Manu Bhat, Jonghyun Park, Jianke Yang +3
Existing symmetry discovery methods predominantly focus on global transformations across the entire system or space, but they fail to consider the symmetries in local neighborhoods…
Impact of Regularization on Calibration and Robustness: from the Representation Space Perspective
Jonghyun Park, Juyeop Kim, Jong-Seok Lee
Recent studies have shown that regularization techniques using soft labels, e.g., label smoothing, Mixup, and CutMix, not only enhance image classification accuracy but also mitiga…